Correlation Between Mfs Research and Mfs Growth

Can any of the company-specific risk be diversified away by investing in both Mfs Research and Mfs Growth at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Mfs Research and Mfs Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Mfs Research Fund and Mfs Growth Fund, you can compare the effects of market volatilities on Mfs Research and Mfs Growth and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Mfs Research with a short position of Mfs Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Research and Mfs Growth.

Diversification Opportunities for Mfs Research and Mfs Growth

0.81

Correlation Coefficient

Mfs Research  Mfs Growth

Very poor diversification

The 3 months correlation between Mfs and Mfs is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Research Fund and Mfs Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Growth Fund and Mfs Research is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Mfs Research Fund are associated (or correlated) with Mfs Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Growth Fund has no effect on the direction of Mfs Research i.e., Mfs Research and Mfs Growth go up and down completely randomly.

Pair Corralation between Mfs Research and Mfs Growth

Assuming the 90 days horizon Mfs Research Fund is expected to generate 0.68 times more return on investment than Mfs Growth. However, Mfs Research Fund is 1.46 times less risky than Mfs Growth. It trades about -0.07 of its potential returns per unit of risk. Mfs Growth Fund is currently generating about -0.1 per unit of risk. If you would invest  5,766  in Mfs Research Fund on December 19, 2024 and sell it today you would lose (237.00) from holding Mfs Research Fund or give up 4.11% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Mfs Research Fund  vs.  Mfs Growth Fund

Mfs Research

Risk-Adjusted Performance

Very Weak

Over the last 90 days Mfs Research Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, Mfs Research is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Mfs Growth Fund

Risk-Adjusted Performance

Very Weak

Over the last 90 days Mfs Growth Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's technical and fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Mfs Research and Mfs Growth

The main advantage of trading using opposite Mfs Research and Mfs Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Research position performs unexpectedly, Mfs Growth can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mfs Growth will offset losses from the drop in Mfs Growth's long position.

The idea behind Mfs Research Fund and Mfs Growth Fund pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.